using individual student data for initial support planning

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Using Individual Student data for initial support planning. Cynthia M. Anderson, Nadia K. Sampson, Celeste Dickey University of Oregon. 45 students (7.6%) and 117 referrals. 589 total enrollment. Meeting the Needs of All Students. Problem - PowerPoint PPT Presentation

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Using Individual Student data for initial support planning

Cynthia M. Anderson, Nadia K. Sampson,Celeste Dickey

University of Oregon

45 students (7.6%) and 117 referrals 589 total enrollment

Meeting the Needs of All Students

Problem Foundation in place: 10-20% of students will

not be successful Solution?

Individualized interventions for all?Alternative: Targeted Interventions

Intensive InterventionsSpecialized

IndividualizedSystems for Students with

High-Risk Behavior

Targeted InterventionsSpecialized Group

Systems for Students with At-Risk BehaviorUniversal Interventions

School-/Classroom-Wide Systems for

All Students,Staff, & Settings

~80% of Students

~15%

~5%

School-Wide Positive Behavior

Support

Targeted Interventions

Matches needs of school Implemented within 5-days of identified need

Similar across students Staff trained in intervention Materials on hand

Function-based Data collected to monitor outcomes Formal system for informing parents of

progress

45 students (7.6%) and 117 referrals 589 total enrollment

Is a Targeted Intervention Appropriate? Intensity of behavior Settings behavior occurs in Behavior of other students Perceived motivation

45 students (7.6%) and 117 referrals 589 total enrollment

Individualized, Function-Based Support Matched to the results of an FBA How can SWIS data help?

What is the problem? When does it occur?

Mark Banks

Mark—What would you do?

1-2 referrals total per year? Considering a function-based plan

What is the behavior of concern? Where are problems occurring and when? Does the perceived motivation help?

What would you do? Who to focus on? Who to interview? Where to observe?

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